Publications by authors named "Saveliy Belkin"

The development of targeted therapy for patients with multiple myeloma (MM) is hampered by the low frequency of actionable genetic abnormalities. Gain or amplification of chromosome 1q (1q+) is the most frequent arm-level copy number gain in patients with MM and is associated with higher risk of progression and death despite recent therapeutic advances. Thus, developing targeted therapy for MM patients with 1q+ stands to benefit a large portion of patients in need of more effective management.

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Diffuse large B-cell lymphoma (DLBCL) is a clinically and molecularly heterogeneous disease. The increasing recognition and targeting of genetically defined DLBCLs highlights the need for robust classification algorithms. We previously characterized recurrent genetic alterations in DLBCL and identified five discrete subtypes, Clusters 1-5 (C1-C5), with unique mechanisms of transformation, immune evasion, candidate treatment targets and different outcomes following standard first-line therapy.

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  • Post-translational modifications (PTMs) significantly influence cell signaling and physiology in both healthy and cancerous cells, with recent advancements in mass spectrometry allowing for precise analysis of these modifications.* -
  • This study utilizes the largest dataset of proteogenomics from 1,110 cancer patients to uncover widespread patterns of protein changes, particularly focusing on acetylation and phosphorylation across 11 cancer types.* -
  • Findings show that specific cancer types exhibit unique PTM-related alterations linked to processes like DNA repair, immune response, kinase activity, and histone regulation, suggesting new potential therapeutic targets.*
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  • The CAPRI Round 46 involved 20 protein assembly targets, blending 14 homo-oligomers with 6 heterocomplexes, highlighting challenges in modeling.
  • A significant number of models (~2000 per target) were submitted by about 30 teams, with better performance seen in easier targets but struggles with complex compositions, as evidenced by only 3 out of 11 difficult targets yielding medium to high-quality models.
  • Analysis revealed a decline in prediction quality for binding interface residues compared to previous rounds, pointing to areas needing improvement for future challenges.
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Modulating protein interaction pathways may lead to the cure of many diseases. Known protein-protein inhibitors bind to large pockets on the protein-protein interface. Such large pockets are detected also in the protein-protein complexes without known inhibitors, making such complexes potentially druggable.

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Alternative splicing allows a single gene to generate multiple mRNA transcripts, which can be translated into functionally diverse proteins. However, experimentally determined structures of protein splice isoforms are rare, and homology modeling methods are poor at predicting atomic-level structural differences because of high sequence identity. Here we exploit the state-of-the-art structure prediction method I-TASSER to analyze the structural and functional consequences of alternative splicing of proteins differentially expressed in a breast cancer model.

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